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  • Presentation: 2024-11-14 13:15 room Pi and via Zoom., Västerås
    Berisa, Aldin
    Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
    Integration and timing analysis of TSN and CAN networks2024Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    Modern embedded systems, particularly in the automotive domain, have seen significant advancements in functionality and complexity. This has driven demand for high data-rate sensors such as cameras, radars, and lidars, which generate vast amounts of data that require transmission with low, predictable latencies. However, traditional onboard communication protocols in the automotive domain, such as Controller Area Network (CAN), have limited support for these requirements. The IEEE Time-Sensitive Networking (TSN) standards have emerged as a solution, providing high-speed, low-latency communication that can be used as a backbone network connecting nodes and networks in the system. The challenge lies in fully utilizing TSN while maintaining compatibility with low-cost legacy CAN systems. This thesis aims to address the challenges of integrating CAN and TSN networks. We investigate various design techniques for the gateway that connects a CAN domain to a TSN domain, ultimately proposing the interface architecture for a CAN-TSN gateway. During our investigation, we identified the lack of timing analysis for the next generations of CAN, namely CAN Flexible Data-rate (FD) and CAN Extra Long (XL), and developed timing analysis for them. We further develop the analysis for the CAN-TSN gateway. As part of the thesis and working towards a scheduling method for TSN traffic sent by a CAN-TSN gateway, we extend a heuristic algorithm to schedule TSN traffic, increasing the schedulability of lower-priority traffic,  particularly in scenarios involving the use or non-use of frame preemption in TSN. Finally, we demonstrate the proof of concept by implementing the timing analysis in an industrial tool suite and through an industrial use case utilizing the gateway. This demonstrates the feasibility and potential benefits of integrating CAN and TSN networks.

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  • Presentation: 2024-12-04 09:15 C3-003, Eskilstuna
    Sanchez de Ocaña, Adrian
    Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.
    Advancing the Development Process of Digital Twins for Production Systems2024Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

     

    Manufacturing companies are increasingly making substantial investments towards digital twins to enable the continuous optimization of their production processes. To maximize the value of these investments, a structured development process can facilitate faster development, enhance resource planning, and reduce overall costs while simultaneously increasing the probability of successful digital twin developments for production systems. 

    Existing literature principally addresses specific steps and challenges within the development process, leaving a need for deeper holistic exploration into how digital twins can be developed in industrial manufacturing settings. This gap represents a significant challenge for manufacturing companies, as the incorrect execution of this process could result in a considerable loss of valuable time and resources.

    The purpose of this thesis is to explore the development process of digital twins for production systems. This thesis studies the development process of digital twins within a global manufacturing by adopting real-time longitudinal case study methodology. By focusing on the development process aspects, this licentiate thesis seeks to generate new insights that will be useful to those responsible for or involved in the digital twin development process. 

    This thesis provides three main contributions. Firstly, it identifies key requirements when developing digital twins for production systems, highlighting the need to focus on not only technical requirements, but also requirements related to people and processes. Secondly, based on physical, virtual, and process complexity, it identifies the sources of complexity when developing digital twins for production systems. Thirdly, it provides insights into the development activities within digital twin development processes , offering significant guidelines for researchers and practitioners.

    This thesis presents a framework that offers a practical contribution to support practitioners in the process of developing digital twins for production systems. It outlines a structured approach to assist practitioners in mitigating the complexities of digital twin development process. The approach outlines key stages and considerations to facilitate the holistic perspective of the process, providing a practical tool for manufacturing companies to enhance their efforts and increase the potential for success in digital twin developments for production systems. 

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